Capabilities - Developer Documentation
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Key capabilities of Quality Prediction Hub are:

  • Automatic quality prediction using production data analytics.
  • Wizard-based user interface for selecting machine data, quality data and ML model parameters.
  • Visualization of machine and quality data, including run-time charts, distribution histograms and correlation map.
  • Automatic pre-processing, aggregation, and feature generation for machine and quality data.
  • Automatic training of selected ML model to solve a regression problem for quality prediction.
  • Visualization of prediction results with True vs Predicted values chart, Feature Importance diagram and Model Accuracy analysis.
  • Automatic update of views for user role engineer and process operator.
  • Output of predicted quality results in relation to specified tolerances.

Last update: May 5, 2023